Classifier-Free Guidance

Also known as CFG

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Latest papers 61

19 papers in the last four weeks, up 171% on the four weeks before. 0.1% of all new papers.

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Learning $ω$ -Powered Conditional Distributions with Importance-Weighted Flow Matching
Oct 12, 2026Maciej Falkiewicz, Frantzeska Lavda, Jason Ramapuram +1Conditional Distribution Estimation Conditional Flow Matching
Computer Science Department, University of Geneva · HES-SO/HEG Genéve · Google Deepmind (work done at Apple)
GuidanceNFT: NFT-Based Reward Fine-Tuning of Guided Diffusion Models
Oct 11, 2026Jiayin Liu, Zeyu Michael Li, Bingshuo Qian +1Diffusion Model Fine-Tuning T2I Diffusion Models
Tsinghua University · Duke University
Understanding Unified VLMs: From Attention Probing to Guidance Tuning for Multimodal Generation
Oct 10, 2026Zhengyang Luo, Xiaoyu Qiu, Zhiheng Tan +3Unified Multimodal Models Multimodal Generation
University of Michigan, Ann Arbor · The Ohio State University · Indiana University Indianapolis
TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback
Oct 9, 2026Jingyu Liu, Hao Jiang, Yikang Ding +6Classifier-Free Guidance Diffusion Sampling
Renmin University of China · Kling Team, Kuaishou Technology
Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
Oct 9, 2026Jiayang Gao, Tianyi Zheng, Jiayang Zou +5Classifier-Free Guidance Inference-Time Guidance
Shanghai Jiao Tong University, Shanghai, China · vivo BlueImage Lab, vivo Mobile Communication Co., Ltd., China · Stanford University, California, USA +1
VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification
Oct 9, 2026Zheming Fu, Wenbin Ning, Ruizhe He +6RL for Video Generation Flow-Based Generative Modeling
Beihang University · Zhongguancun Academy · Joy Future Academy +2
Global Transport Couplings for Classifier-Free Guided Flows
Oct 6, 2026Katarina Petrović, Zander W. Blasingame, Danyal Rehman +5Classifier-Free Guidance Conditional Image Generation
AITHYRA · University of Oxford · Mila - Québec AI Institute +7
CACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control
Oct 5, 2026Max Collins, Dasith de Silva Edirimuni, Jordan Vice +2Diffusion Model Guidance Classifier-Free Guidance
School of Physics, Maths and Computing The University of Western Australia Perth, WA 6009
Correcting Guided Diffusion Trajectories with Spectral Alignment
Oct 2, 2026Gihoon Kim, Taesup KimDiffusion Model Guidance Diffusion Sampling
Graduate School of Data Science, Seoul National University
Joint Branch-Space Transform Coding for Diffusion Activation Quantization with Classifier-Free Guidance
Oct 1, 2026Mingrun Jiang, Yuejia Liu, Zishan Shao +11Classifier-Free Guidance Diffusion Model Quantization
Duke University · Carnegie Mellon University · University of Florida +2
GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales
Sep 30, 2026Zhenxing Zhang, Jiayan Teng, Wenxu Wu +6Diffusion Model Guidance Classifier-Free Guidance
Hefei University of Technology · Zhipu AI · Tsinghua University
ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images
Sep 30, 2026Shubhang Bhatnagar, Ishan Bhatnagar, Viraj Shah +1Diffusion Model Guidance Classifier-Free Guidance
University of Illinois Urbana-Champaign
RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance
Sep 29, 2026Yiming Liu, Ben Wan, Tongxuan Liu +5Classifier-Free Guidance Diffusion Model Caching
School of Software, Tsinghua University, Beijing, China · BNRist, Tsinghua University, Beijing, China · JD.com, Beijing, China
Attention-Scoped Guidance: Training-Free Spatial Control for Image Editing
Sep 28, 2026Zeyan Li, Wei Zhou, Hadi Amirpour +3Classifier-Free Guidance Text-Guided Image Editing
Shanghai Jiao Tong University · Cardiff University · University of Klagenfurt +1
SAGE: Subspace Alignment for Classifier-Free Guidance in Mixture-of-Experts Diffusion Models
Sep 28, 2026Boyu Zhang, Yangming Cheng, Ning Zhang +5Classifier-Free Guidance Diffusion Transformer
Alibaba Token Hub, Alibaba Group
DecFlowEdit: Self-Localized Flow-based Image Editing via Guidance Decoupling
Sep 28, 2026Zheyuan Zhan, Can Wang, Jiawei Chen +4Flow Matching Classifier-Free Guidance
Zhejiang University · University at Buffalo · University of California, Berkeley
Asymmetric Classifier-Free Guidance for Target-Speaker ASR
Sep 24, 2026Yiwen Guan, Jacob WhitehillAutomatic Speech Recognition Classifier-Free Guidance
Worcester Polytechnic Institute, Massachusetts, USA
Learnable Classifier-Free Guidance Null Embeddings for Enhanced Controllable Speech Synthesis
Sep 21, 2026Biel Tura Vecino, Yoach Lacombe, Julian Weber +4Classifier-Free Guidance TTS Synthesis
Cantina Labs
Classifier-Free Guidance in Flow Matching: Non-Autonomous Potentials, Overshoot, and Posterior-Mean Control
Sep 21, 2026Jishen Peng, Zheng MaFlow Matching Classifier-Free Guidance
School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai, China · Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China +1
Geometry-Aware Diffusion Guidance via Curvature-Adaptive Tubular Correction
Sep 18, 2026Enze Jiang, Jinwei He, Zheng MaDiffusion Guidance Diffusion-Based Inverse Problems
School of Mathematical Sciences Shanghai Jiao Tong University Shanghai, China
Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction
Sep 8, 2026Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1Classifier-Free Guidance Algorithmic Fairness
University of Arkansas Fayetteville, AR, USA · University of North Carolina at Charlotte Charlotte, NC, USA
Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective
Sep 7, 2026Jian-Feng Cai, Zhengyi Su, Chao WangFlow Matching Classifier-Free Guidance
Department of Mathematics The Hong Kong University of Science and Technology Hong Kong SAR, China · Department of Statistics and Data Science Southern University of Science and Technology Shenzhen, Guangdong, China
PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment
Aug 29, 2026Avishag Nevo, Tamir HazanInference-Time Guidance Classifier-Free Guidance
Technion - Israel Institute of Technology
Unlocking Multimodal Protein Language Models at Inference Time
Aug 26, 2026Yi Zhou, Qipeng Wang, Yunqing Liu +3Inference-Time Search Protein Language Models
The Hong Kong Polytechnic University · The Hong Kong University of Science and Technology (Guangzhou)
DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models
Aug 26, 2026Minhae Oh, Nakyung Lee, Jungwoo LeeLLM Self-Correction Diffusion Language Model Inference
Department of Electrical and Computer Engineering, Seoul National University
When Guidance Goes Off-Scale: Recalibrating Diffusion Transformers under Analog Compute-in-Memory Nonidealities
Aug 20, 2026Wenshuai Yao, Wenyong ZhouDiffusion Transformer Diffusion-Based Image Generation
School of Integrated Circuits, Peking University, Beijing, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China
Revisiting Classifier-Free Guidance Methods in Latent Diffusion Models
Aug 17, 2026Artem Sergievskii, Artyom Turevich, Sergey KastryulinDiffusion Model Guidance Classifier-Free Guidance
HSE University · Yandex, HSE University
Adversarial Learning of Classifier-Free Guidance Schedules
Aug 14, 2026Ashwini Pokle, Alexandre Galashov, Arnaud Doucet +2Classifier-Free Guidance T2I Diffusion Models
Google DeepMind
Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models
Aug 8, 2026Fan Zhou, Weitian Wang, Tim Van de CruysClassifier-Free Guidance Controllable Text Generation
KU Leuven, Belgium · Ruhr University Bochum, Germany
Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving
Jul 31, 2026Meibo Hu, Jiamian Wang, Pichao Wang +1Classifier-Free Guidance VLMs for Autonomous Driving
Rochester Institute of Technology · NVIDIA

Oct 12, 2026J/K move · Enter open · S save

Learning $ω$ -Powered Conditional Distributions with Importance-Weighted Flow Matching

Maciej Falkiewicz, Frantzeska Lavda, Jason Ramapuram, Alexandros Kalousis

Computer Science Department, University of Geneva · HES-SO/HEG Genéve · Google Deepmind (work done at Apple)

Conditional Distribution Estimation Conditional Flow Matching Flow Matching Classifier-Free Guidance

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Classifier-Free Guidance (CFG) with guidance scale

γ

is commonly motivated by the

ω

-powered conditional distribution obtained by setting

ω=γ

, but CFG does not, in general, sample from this distribution exactly. We study whether the powered target can instead be learned explicitly. We introduce Importance-Weighted Conditional Flow Matching (IW-CFM), which reweights conditional flow-matching examples using density ratios obtained from frozen conditional and unconditional flow models. With exact normalized weights, the resulting objective has the same gradient as flow matching on the powered target; in practice, we use self-normalized estimation and a regularized empirical approximation for high-dimensional data. On synthetic distributions, IW-CFM recovers analytical powered targets for which numerically matched CFG,

γ=ω

, exhibits a visible mismatch. On ImageNet, an amortized lightweight corrector achieves better alignment than fixed- and matched-guidance CFG with the corresponding weighted and filtered reference distributions. We additionally present an exploratory CLIP analysis of powered-density rankings on real ImageNet data. Aggregate shifts across selected prompt-specific contrasts coexist with heterogeneous classwise responses, including nonmonotonic trajectories. These results provide a practical route for studying and approximating model-defined powered conditional distributions.